Enterprise Predictive AI Platform - Senior Lead Product Manager

Wells Fargo Bank•Concord, CA

1d•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Product Manager (Senior Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. This platform enables end-to-end AI lifecycle capabilities, including model development, deployment, feature engineering, inferencing, monitoring, and governance. It plays a critical role in powering high-impact predictive AI use cases across multiple lines of business, ensuring models are built, deployed, and operated securely, reliably, and at enterprise scale. This role sits at the forefront of Wells Fargo’s AI transformation. You will partner closely with senior leaders across business, technology, data science, risk, cybersecurity, architecture, infrastructure, and model governance to modernize the platform, enhance the user experience, drive adoption, and deliver measurable business outcomes. The ideal candidate is a strategic product leader with deep experience in AI/ML platforms, strong technical and cloud fluency, a human-centered design mindset, and a track record of driving complex initiatives from vision through delivery.

Requirements

7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience leading product development, technology delivery, or enterprise-scale capability development
3+ years of experience leading cross-functional teams or managing complex, large-scale technology programs
3+ years of experience working with cloud technologies, AI/ML platforms, data platforms, or hybrid infrastructure environments

Nice To Haves

Experience with AI/ML platforms and capabilities such as MLOps, model lifecycle management, model deployment, monitoring, AutoML, feature engineering, and model governance
Experience leveraging public cloud AI/ML services (e.g., Google Cloud Platform/Vertex AI, Azure Machine Learning, AWS SageMaker, or similar)
Knowledge of modern technology environments, including hybrid cloud, Kubernetes/OpenShift, APIs, distributed systems, data platforms, and enterprise infrastructure
Experience building and scaling platform products for technical users, including data scientists, ML engineers, application developers, and analytics teams
Experience operating in highly regulated environments with strong requirements for security, controls, compliance, resiliency, and operational readiness
Proven ability to influence and align senior stakeholders across engineering, business, and control functions

Responsibilities

Act as an advisor to senior leadership in developing a large cross functional team to identify and execute complex artificial intelligence initiatives that span a large line of business
Provide consultation to more experienced leaders in order to recommend solutions which solve business challenges
Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutions
Provide direction on key issues which may arise during development or implementation
Cultivate relationships with clients to identify and develop a pipeline of future Artificial Intelligence opportunities which align with the strategic priorities of the business
Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals